Danew Dslide_115
Geekbench AI Score
183
Single Precision Score
182
Half Precision Score
207
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 06:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Danew Dslide_115 |
| Model ID | Danew Dslide_115 |
| Motherboard | exdroid |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.42 GHz |
| Cluster 1 | 4 Cores @ 1.42 GHz |
| Cluster 2 | 2 Cores @ 1.61 GHz |
| Cluster 3 | 2 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (Q)
|
100% |
181
33.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
126
2.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
219
3.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
389
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
294
0.35 IPS |
|
|
Object Detection (SP)
|
100% |
89
7.05 IPS |
|
|
Object Detection (HP)
|
100% |
91
7.26 IPS |
|
|
Object Detection (Q)
|
83% |
118
9.50 IPS |
|
|
Face Detection (SP)
|
100% |
217
2.58 IPS |
|
|
Face Detection (HP)
|
100% |
220
2.61 IPS |
|
|
Face Detection (Q)
|
95% |
327
3.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
219
1.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
303
2.77 IPS |
|
|
Style Transfer (SP)
|
89% |
714
0.93 IPS |
|
|
Style Transfer (HP)
|
89% |
730
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
766
0.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
158
5.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
182
6.73 IPS |
|
|
Text Classification (SP)
|
100% |
88
117.4 IPS |
|
|
Text Classification (HP)
|
100% |
108
143.5 IPS |
|
|
Text Classification (Q)
|
88% |
122
165.1 IPS |
|
|
Machine Translation (SP)
|
100% |
149
2.57 IPS |
|
|
Machine Translation (HP)
|
100% |
133
2.30 IPS |
|
|
Machine Translation (Q)
|
50% |
64
2.27 IPS |
